Article
Thermodynamics
Siyue Ren, Xiao Feng, Minbo Yang
Summary: This paper proposes the concept of cumulative solar exergy (CSE) and improves resource utilization efficiency by allocating based on the transformities in independent power generation systems. The results show that biomass-based systems have higher resource utilization efficiency, and the CSE method has higher electricity coefficients.
Article
Engineering, Environmental
Hao-Feng Lin, Ibrahim B. Mansir, Hawzhen Fateh M. Ameen, A. Cherif, Abdulkareem Abdulwahab, Mahidzal Dahari, Haitao Lin, Ayman A. Aly, Samia Nasr
Summary: There is a need to develop novel clean systems for environmental and energy solutions. A novel tri-generation system for power, cooling and freshwater was developed using emergy analysis for evaluating economic and environmental aspects. The system performance was studied based on gasification temperature, combustion temperature and natural gas contribution. Various indicators were considered, including environmental loading ratio, Emergy sustainability index, Emergy investment ratio, Renewability scale, Emergy yield ratio, and energy efficiency. The system performance was optimized using response surface methodology. The results showed that increasing natural gas contribution improved system energy efficiency. The optimum conditions were found to be natural gas contribution of 1, gasification temperature of 1000 degrees C, and combustion temperature of 1403 degrees C, with prediction accuracy of response surface methodology below 5%.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Article
Thermodynamics
Mohammad Moosazadeh, Shahzeb Tariq, Usman Safder, ChangKyoo Yoo
Summary: This study investigates the performance of a hybrid solar thermal membrane-based multigeneration system for generating power, cooling, heating, and water. The results show that the allocation of R113 in the system yielded the highest energy efficiency and lowest environmental impact. Additionally, the utilization of rejected water-ammonia achieved reasonable power density and water flux. The sustainability analysis revealed that the proposed system obtains a sustainability index greater than that of fossil fuel-based power generation systems.
Article
Thermodynamics
Mohammad Hasan Khoshgoftar Manesh, Meysam Hajizadeh Aghdam, Hossein Vazini Modabber, Amir Ghasemi, Mahdi Khajeh Talkhoncheh
Summary: This study aims to improve the combined power plant in Qom province by utilizing solar energy and a multi-effect desalination system. Various analyses, including energy, exergy, exergoeconomic, exergoenvironmental, emergoeconomic, and emergoenvironmental analyses, were conducted. The proposed cycle was optimized using a multi-objective genetic algorithm. The results showed that the addition of a solar-based thermal system increased the exergetic efficiency of the base plant by 1.91% and the new-designed plant could generate 33 kg/s of freshwater by integrating solar and desalination systems. The optimization results also indicated an increase of 3.22% in the exergetic efficiency of the proposed plant and reduced power generation costs, environmental impacts, freshwater generation costs, environmental impacts, and the emergy of the system.
Article
Engineering, Chemical
Yawei Du, Xinrong Zhang, Chuanpeng Cao, Jiangbo Dai, Quanyu Gong, Dongxuan Zhang, Huining Deng, Lixin Xie
Summary: This paper introduces a superstructure-based simultaneous optimum design and operation of seawater reverse osmosis (RO) system with boron removal under time-variant constraints. Three operational strategies are utilized to improve operability of the system under boron restrictions, including changing the activated number of pressure vessels, permeates split ratio, and pH values. Moreover, exergo-environmental and exergoeconoenvironmental analysis models are integrated, allowing for optimization of economic efficiency, energy utilization, and environmental impact in both design and operation phases.
Article
Multidisciplinary Sciences
Gadelhag Mohmed, Xanthea Heynes, Abdallah Naser, Weituo Sun, Katherine Hardy, Steven Grundy, Chungui Lu
Summary: Understanding how plants respond to environmental conditions is crucial for plant growth. This paper proposes using an Artificial Neural Network (ANN) model to predict plant response to environmental conditions in a Chinese Solar Greenhouse to improve crop production systems. Comprehensive data collection has been conducted in a greenhouse environment to validate the proposed prediction model. The results show that the Bayesian Neural Networks (BNN) models accurately predict crop performance.
SCIENTIFIC REPORTS
(2023)
Article
Agronomy
Ruoqing Zhang, Danni Yang, Sien Li, Jinliang Chen, Dan Hu, Hui Guo, Chunyu Wang, Yahui Wang, Xue Cong
Summary: The patterns of biomass allocation in maize were studied using a newly developed model. The study found that as water and nutrient stress levels increased, the shoot to root ratio decreased. The model showed good performance in predicting maize growth and biomass allocation, and indicated a relationship between allocation strategies and yield.
Article
Energy & Fuels
Zelda Z. Rasmeni, Daniel M. Madyira, Antony N. Matheri
Summary: Anaerobic digestion is a widely used technology for converting solid organic waste into energy and value-added products. This study investigates the effect of co-substrate ratio on biogas yield and finds that brewer's waste yeast can mitigate the limitations of mono-digestion of sewage sludge.
Article
Agronomy
Katarzyna Adamczewska-Sowinska, Jozef Sowinski, Anna Jama-Rodzenska
Summary: The study evaluated the fresh biomass yield and quality parameters of quinoa as a green leafy vegetable in field experiments conducted in two facilities over two years. Results showed that different soils and sowing dates significantly impacted the yield and quality of quinoa. Medium soil and spring sowing were more favorable for quinoa growth, while light soil and summer sowing resulted in lower yields.
Article
Green & Sustainable Science & Technology
Divine Atsu, Istvan Seres, Istvan Farkas
Summary: Hungary has a relatively high solar energy resource that has not been fully exploited. The government has established necessary policies and incentives to promote renewable energy, but challenges in land acquisition and legal definitions of PV systems still exist. The installed solar PV capacity in Hungary is 790 MWp with a target to have 14.65% of electricity demand supplied by renewable energy sources by 2020.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Forestry
Chris J. Cieszewski, Michal Zasada, Roger C. Lowe, Shanbin Liu
Summary: This research presented an example of estimation of carbon and biomass pools in Georgia forests using USDA Forest Service data, producing a map at sub-county level resolution. Coniferous forests in northern Georgia, southern Piedmont, and eastern Coastal Plain have the highest total biomass density, while deciduous and mixed forests in the northern part of the state and western part of the East Gulf Coastal Plain have the highest biomass density.
Article
Chemistry, Physical
Yang Sun, Zongbin Zhao, Guanyu Zhao, Luxiang Wang, Dianzeng Jia, Yongzhen Yang, Xuguang Liu, Xuzhen Wang, Jieshan Qiu
Summary: Research has shown that carbonized corncob can be effective in generating steam using solar energy, overcoming salt deposition issues, and providing inspiration for future applications in this field.
Article
Agronomy
Oleg Bazaluk, Valerii Havrysh, Mykhailo Fedorchuk, Vitalii Nitsenko
Summary: The search for environmentally friendly renewable energy sources is driven by global climate changes and fossil fuel reserve depletion. Biomass, including sorghum, is a promising alternative to fossil fuels in Europe. Field experiments in Southern Ukraine showed that sweet sorghum can achieve a yield of 40.6 t/ha with an energy efficiency ratio of 11.18 under certain precipitation conditions, while grain sorghum's yield and energy efficiency ratio varied.
Article
Agricultural Engineering
Anuchit Sonwai, Patiroop Pholchan, Nakorn Tippayawong
Summary: In this study, machine learning was used to predict the specific methane yields (SMY) using 14 features from lignocellulosic biomass (LB) characteristics and operating conditions in completely mixed reactors. The random forest (RF) model performed the best with a coefficient of determination (R2) of 0.85 and root mean square error (RMSE) of 0.06. Biomass compositions, particularly cellulose, had a significant influence on SMYs from LB. The RF model was also used to assess the impact of LB to manure ratio and determine the optimum ratio of 1:1 under typical organic loading rates (OLR). Experimental results confirmed the influential factors identified by the RF model and achieved a highest SMY of 79.2% of the predicted value. This work demonstrates the successful application of machine learning for anaerobic digestion modeling and optimization specifically for LB.
BIORESOURCE TECHNOLOGY
(2023)
Article
Biotechnology & Applied Microbiology
Tairu Zeng, Yushan Wu, Yafen Xin, Chen Chen, Zhaochang Du, Xiaoling Li, Junfeng Zhong, Muhammad Tahir, Bo Kang, Dongmei Jiang, Xiaochun Wang, Wenyu Yang, Yanhong Yan
Summary: Intercropping improves land-use efficiency, silage quality, and biomass yield. The intercropping pattern of two maize rows with three soybean rows (2M3S) exhibits the best performance.
FERMENTATION-BASEL
(2022)
Article
Agronomy
P. Toscano, L. Genesio, A. Crisci, F. P. Vaccari, E. Ferrari, P. La Cava, J. R. Porter, B. Gioli
AGRICULTURAL AND FOREST METEOROLOGY
(2015)
Article
Computer Science, Interdisciplinary Applications
F. Ewert, R. P. Rotter, M. Bindi, H. Webber, M. Trnka, K. C. Kersebaum, J. E. Olesen, M. K. van Ittersum, S. Janssen, M. Rivington, M. A. Semenov, D. Wallach, J. R. Porter, D. Stewart, J. Verhagen, T. Gaiser, T. Palosuo, F. Tao, C. Nendel, P. P. Roggero, L. Bartosova, S. Asseng
ENVIRONMENTAL MODELLING & SOFTWARE
(2015)
Review
Plant Sciences
Karine Chenu, John Roy Porter, Pierre Martre, Bruno Basso, Scott Cameron Chapman, Frank Ewert, Marco Bindi, Senthold Asseng
TRENDS IN PLANT SCIENCE
(2017)
Editorial Material
Agronomy
Pete Smith, John R. Porter
GLOBAL CHANGE BIOLOGY BIOENERGY
(2018)
Article
Agricultural Engineering
Bhim Bahadur Ghaley, John Roy Porter
BIOMASS & BIOENERGY
(2014)
Article
Environmental Sciences
Bhim Bahadur Ghaley, Lars Vesterdal, John Roy Porter
ENVIRONMENTAL SCIENCE & POLICY
(2014)
Article
Multidisciplinary Sciences
Bhim B. Ghaley, Harpinder S. Sandhu, John R. Porter
Article
Food Science & Technology
John R. Porter, Robert Dyball, David Dumaresq, Lisa Deutsch, Hirotaka Matsuda
GLOBAL FOOD SECURITY-AGRICULTURE POLICY ECONOMICS AND ENVIRONMENT
(2014)
Review
Biodiversity Conservation
John R. Porter, Andrew J. Challinor, Christian Bugge Henriksen, Stuart Mark Howden, Pierre Martre, Pete Smith
GLOBAL CHANGE BIOLOGY
(2019)
Article
Environmental Sciences
Fan Fan, Cunzhu Liang, Yongkang Tang, Inez Harker-Schuch, John R. Porter
SCIENCE OF THE TOTAL ENVIRONMENT
(2019)
Article
Computer Science, Interdisciplinary Applications
Momona Yamagami, Sasa Junuzovic, Mar Gonzalez-Franco, Eyal Ofek, Edward Cutrell, John R. Porter, Andrew D. Wilson, Martez E. Mott
Summary: This study proposes a design space for creating accessible bimanual interactions in VR using unimanual input. They explore two dimensions, bimanual interactions and computer assistance, and develop new unimanual input techniques that map to bimanual interactions in VR. User feedback from a video elicitation study shows the need for additional settings and methods to make VR accessible to people with limited mobility.
ACM TRANSACTIONS ON ACCESSIBLE COMPUTING
(2022)
Proceedings Paper
Computer Science, Cybernetics
Dhruv Jain, Sasa Junuzovic, Eyal Ofek, Mike Sinclair, John R. Porter, Chris Yoon, Swetha Machanavajhala, Meredith Ringel Morris
Summary: This study developed a taxonomy for representing VR sounds through two studies, successfully categorizing nearly all sounds in 33 VR apps, and providing additional insights for designing accessible sound substitutes for DHH users.
PROCEEDINGS OF THE 2021 ACM DESIGNING INTERACTIVE SYSTEMS CONFERENCE (DIS 2021)
(2021)
Article
Geography
Julie Ingram, Jane Mills, Camilla Dibari, Roberto Ferrise, Bhim Bahadur Ghaley, Jens Greonbech Hansen, Ana Iglesias, Zbigniew Karaczun, Alistair McVittie, Paolo Merante, Andras Molnar, Berta Sanchez
JOURNAL OF RURAL STUDIES
(2016)
Article
Agricultural Economics & Policy
Julie Ingram, Jane Mills, Ana Frelih-Larsen, McKenna Davis, Paulo Merante, Sian Ringrose, Andras Molnar, Berta Sanchez, Bhim Bahadur Ghaley, Zbigniew Karaczun
Article
Environmental Sciences
Rogier P. O. Schulte, Francesca Bampa, Marion Bardy, Cait Coyle, Rachel E. Creamer, Reamonn Fealy, Ciro Gardi, Bhim Bahadur Ghaley, Phil Jordan, Hjalmar Laudon, Cathal O'Donoghue, Daire O'hUallachain, Lilian O'Sullivan, Michiel Rutgers, Johan Six, Gergely L. Toth, Dirk Vrebos
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2015)
Article
Biodiversity Conservation
Yongcui Lan, Jinliang Wang, Qianwei Liu, Fang Liu, Lanfang Liu, Jie Li, Mengjia Luo
Summary: This study focuses on the five major plateau lake basins in central Yunnan, China, and constructs an ecological security pattern using the source-resistance surface-corridor-pinch point framework. The study simulates land use/cover change in the region and identifies early warning regions where future urban expansion poses a threat to current ecological source areas and corridors.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Pingping Huang, Feng Zhao, Bailing Zhou, Kuidong Xu
Summary: This study investigates the distribution of benthic microeukaryotes in the China Seas and finds that they can stride over the ecological barrier of 32 degrees N. The study also highlights the significant influence of depth, temperature, and latitude on communities in the China Seas.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Federico Morelli, Yanina Benedetti, Jesse Stanford, Leszek Jerzak, Piotr Tryjanowski, Paolo Perna, Riccardo Santolini
Summary: Species distribution models (SDMs) are numerical tools used for predicting species' spatial distribution. This study found that ecological characteristics, such as habitat specialization, play a role in improving the accuracy of SDMs.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Xiaoxuan Wu, Hang Liu, Wei Liu
Summary: Global climate change, urbanization, and economic development have increased the need for sustainable human development, urban ecological governance, and low-carbon energy transformation. This study analyzes the green ecological transition in Chengdu based on panel data from 2010 to 2020, exploring its spatiotemporal evolution and key factors. The results show an overall upward trend in Chengdu's green ecological development and positive spatial autocorrelation in certain districts.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Castaldi Simona, Formicola Nicola, Mastrocicco Micol, Morales Rodriguez Carmen, Morelli Raffaella, Prodorutti Daniele, Vannini Andrea, Zanzotti Roberto
Summary: Sustainable agricultural practices are increasingly important for global and national environmental policies and economy. This study compared the sustainability of grape production under integrated and organic management using multiple indicators. The results showed that organic management was more beneficial for most environmental aspects of the agroecosystem compared to integrated management, without affecting grape yield.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Gaia Vaglio Laurin, Alexander Cotrina-Sanchez, Luca Belelli-Marchesini, Enrico Tomelleri, Giovanna Battipaglia, Claudia Cocozza, Francesco Niccoli, Jerzy Piotr Kabala, Damiano Gianelle, Loris Vescovo, Luca Da Ros, Riccardo Valentini
Summary: Phenology monitoring is important for understanding forest functioning and climate impacts. This research compares the phenological behavior of European beech forests using Tree-Talker (TT+) and Sentinel 2 satellite data. The study finds differences in the information derived by the two sensor types, particularly in terms of season length, phenology changepoints, and leaf period variability. TT+ with its higher temporal resolution demonstrates precision in capturing the phenological changepoints, especially when satellite image availability is limited.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Huanhuan Pan, Ziqiang Du, Zhitao Wu, Hong Zhang, Keming Ma
Summary: The land use and cover changes resulting from coal mining activities and ecological restoration have had a significant impact on ecosystem services in mining areas. This study investigates the relationship between ecosystem services and land use intensity in coal mining areas, emphasizing the importance of understanding this interdependence for balanced human-land system development. The research examines the evolving relationship across different reclamation stages in Shanxi, China, using a coupling coordination degree model. The findings suggest the need for timely and judicious reclamation of coalfields, considering the land's bearing capacity.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Jingjuan He, Yijun Shi, Lihua Xu, Zhangwei Lu, Mao Feng
Summary: This study examines the spatial interplay between changes in the blue-green spatial distribution and modifications in land surface temperature grades in Shanghai. The findings reveal that the transformation of the blue-green spatial pattern differs between different sectors of the city, and the impact on the thermal environment varies spatially.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Yi Xu, Di Zhang, Junqiang Lin, Qidong Peng, Xiaohui Lei, Tiantian Jin, Jia Wang, Ruifang Yuan
Summary: This study analyzed the response relationship between phytoplankton growth and water environmental parameters in the Middle Route of the South-to-North Water Diversion Project in China using long-term monitoring data and machine learning models. The results revealed the differences between monitoring sites and identified the key parameters that affect phytoplankton growth.
ECOLOGICAL INDICATORS
(2024)
